Phrase Break Prediction with Bidirectional Encoder Representations in Japanese Text-to-Speech Synthesis-Reference-Cited by-同舟云学术

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Phrase Break Prediction with Bidirectional Encoder Representations in Japanese Text-to-Speech Synthesis

Published:2021-08-30 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2021
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Author:

Futamata Kosuke,Park Byeongseon,Yamamoto Ryuichi,Tachibana Kentaro

Publisher

ISCA

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model;INTERSPEECH 2023;2023-08-20

2. Duration-Aware Pause Insertion Using Pre-Trained Language Model for Multi-Speaker Text-To-Speech;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-Based Prosody Modeling;Lecture Notes in Computer Science;2023

4. Polyphone Disambiguation and Accent Prediction Using Pre-Trained Language Models in Japanese TTS Front-End;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

5. Detection of Prosodic Boundaries in Speech Using Wav2Vec 2.0;Text, Speech, and Dialogue;2022

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